Epi SyncroSim Package

GitHub release

Model of epidemic infections and deaths

Epi is an open-source SyncroSim Base Package that provides a general framework for developing scenario-based stochastic models of future daily epidemic infections and deaths.

The Epi package framework has been developed to produce real-time forecasts of infections and deaths that can be rapidly deployed for use anywhere in the world. Built upon the SyncroSim software platform, Epi takes as input a time series of real-time reported case and death data along with different modeling approaches for forecasting and scenario analyses. Epi uses the latest source control techniques, allowing for continuous adaptions and improvements to be applied to the framework’s underlying models as understanding of diseases and viruses evolves over time.

The modeling framework behind Epi is general enough that it may be applied to any jurisdiction and any disease. As such, the framework allows decision makers to assess and compare alternative model projections for local accuracy and relevance, thus building confidence over time in their forecasts. Furthermore, the Epi framework provides policy makers with the flexibility to introduce their own local “what-if” scenarios regarding the effects of possible future changes to public health measures. The result is a tool that generates locally responsive, meaningful, and ultimately actionable forecasts.


This package requires the latest version of SyncroSim.

How to Install

For installation instructions, see the Install Epi section on the Getting Started page.

Getting Started

For more information on Epi, including a Quickstart Tutorial, see the Getting Started page.

Browse source code at http://github.com/ApexRMS/epi/
Report a bug at http://github.com/ApexRMS/epi/issues


Colin Daniel (Author, maintainer)
Leonardo Frid (Author)
Bronwyn Rayfield (Author)
Alex Embrey (Author)
Shreeram Senthivasan (Author)